{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Measuring Learning in Intermediate Layers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we take a simple fully connected model for classifying MNIST digits and we examine the speed of learning at various hidden layers within the model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/the-deep-learners/deep-learning-illustrated/blob/master/notebooks/measuring_speed_of_learning.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set seed for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "np.random.seed(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "from keras.datasets import mnist\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout # new!\n",
    "from keras import backend as K\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.ndimage.filters import gaussian_filter1d\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define a custom callback\n",
    "\n",
    "This callback grabs the weights at the end of each epoch and converts them back to gradients. The gradients are saved in a dictionary and at the end of training the Euclidean norm is taken as a measure of how fast training is moving in any given layer during any given epoch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GradHistory(keras.callbacks.Callback):\n",
    "\n",
    "    def on_train_begin(self, logs={}):\n",
    "        # Initialize list of hidden layers\n",
    "        self.layers = [layer for layer in self.model.layers if 'hidden_' in layer.name]\n",
    "        \n",
    "        # Initialize grads dict with empty list\n",
    "        self.grads = {layer.name:[] for layer in self.layers}\n",
    "        \n",
    "        # Grab the initial weights from the model\n",
    "        self.prev_w = [layer.get_weights()[0] for layer in self.layers]\n",
    "\n",
    "    def on_epoch_end(self, batch, logs={}):\n",
    "        # Get the weights at the end of the epoch\n",
    "        curr_w = [layer.get_weights()[0] for layer in self.layers]\n",
    "        \n",
    "        # Get the LR at the end of the epoch\n",
    "        lr = K.get_value(self.model.optimizer.lr)\n",
    "        \n",
    "        # Convert the previous and currents weights to gradients\n",
    "        grads_ = [(prev - curr) for curr, prev in zip(curr_w, self.prev_w)]\n",
    "        \n",
    "        # Move the grads into the self.grads dict\n",
    "        for i,layer in enumerate(grads_):\n",
    "            self.grads[self.layers[i].name].append(layer)\n",
    "        self.prev_w = curr_w\n",
    "    \n",
    "    def on_train_end(self, logs={}):\n",
    "        # At the end of training, take the euclidean norm of each array of gradients in each layer at each epoch.\n",
    "        self.norms = {k:[np.sqrt(np.sum([x*x for x in epoch])) for epoch in v] for k,v in self.grads.items()}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npz\n",
      "11493376/11490434 [==============================] - 1s 0us/step\n"
     ]
    }
   ],
   "source": [
    "(X_train, y_train), (X_test, y_test) = mnist.load_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Preprocess data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train.reshape(60000, 784).astype('float32')\n",
    "X_test = X_test.reshape(10000, 784).astype('float32')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train /= 255\n",
    "X_test /= 255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_classes = 10\n",
    "y_train = keras.utils.to_categorical(y_train, n_classes)\n",
    "y_test = keras.utils.to_categorical(y_test, n_classes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Design neural network architecture\n",
    "\n",
    "This function builds and returns a model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_model(hidden = 2):\n",
    "    \n",
    "    model = Sequential()\n",
    "    model.add(Dense(30, activation='sigmoid', input_shape=(784,),name='input'))\n",
    "    \n",
    "    for h in range(hidden):\n",
    "        model.add(Dense(30, activation='sigmoid',name='hidden_{}'.format(h)))\n",
    "    \n",
    "    model.add(Dense(10, activation='softmax'))\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Build, compile and train model\n",
    "\n",
    "Here we actually call the `build_model()` function, compile the model, and return the history object (where the gradients will besaved after training)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_and_train(hidden = 1, epochs=200):\n",
    "    \n",
    "    model = build_model(hidden)\n",
    "    history = GradHistory()\n",
    "    model.compile(loss='categorical_crossentropy', optimizer='sgd', metrics=['accuracy'])\n",
    "    model.fit(X_train[:1000], y_train[:1000], batch_size=1, epochs=epochs, verbose=0, callbacks=[history])\n",
    "    \n",
    "    return history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`history.grads.norms` is a dict, with keys for each of the layers in the model. Each key contains a list of gradient norm values for that layer over all the epochs in training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Call the method to build and train the model, returning the history object\n",
    "# Note, here we use five hidden layers and 200 epochs\n",
    "norms_5 = build_and_train(5, 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define a plotting function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot(history, hidden, log=False):   \n",
    "    fig = plt.figure(figsize=(8,6),dpi=300)\n",
    "    \n",
    "    layers = [layer for layer in history.norms.keys()]\n",
    "    values = [history.norms[layer] for layer in layers]\n",
    "    \n",
    "    for layer,values in zip(layers[::-1],values[::-1]):\n",
    "        ys = np.array(values[:])\n",
    "        xs = np.array(range(ys.shape[0]))\n",
    "        ys_smooth = gaussian_filter1d(ys, sigma=3)\n",
    "        plt.plot(xs, ys_smooth, label=layer)\n",
    "        \n",
    "    plt.title('Learning speed with {} hidden layers'.format(hidden))\n",
    "    plt.ylabel('Learning speed')\n",
    "    if log:\n",
    "        plt.yscale('log')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.legend(loc='upper right')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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S2ExjEXFYLf3yaQ5FUm/eBixeSZ+Ymdd3Ua8+7/1lRCwzuGFJ41d+5qsfVdzPZps0o2XmfZMFGwzISOYb12oat2G/nzLzrl4CHCr1LgfOqWW79tKMN6I5aiScozQDHA08MzO3zMz3ZObhmXlpZj455nHtS+vnxOsz8+wxjUWa0oj3wfeppY/IzHsmq1Ce1PXlKdppERHrATtVsh6jCJaYVGaeAVxYyVoJ2H2qejLIQdL4vBpYrpI+LzOv6bLukbX0GwczJKmxLqull42IlcYyEmlu2rOWrs9TbZV3p19QyVqe5tztKXXrzcCKlfT9wIljGovUdKOab1yrSZ3V115rjWUU0tzlHKWxmolBQ1EcyfJXtWwDyzVb9bQPHhGLA6+vZXe1jgJOA26vpDeMiBdMUr6+Xjs5M+/rsi/nqD4Y5CBpXHarpc/ooe7ZwIJKesuIWHPaI5Kaa0GbvKXa5EkasIh4FrBFJWsB8Osemjijln7NdMckzTB/XUsfO9M2BaUmGPF841pN6qy+9nLdJY2Wc5S0qJcBG1bSCyhOnJBmo173wV8MrFpJ316e7jOl8jqLs2rZw1pH1cu+KiL8Dn8K/g+SNC6b1dLndVuxPFbyylr2n097RFJz/VktvYA+7kyX1Jf6fHZFj8cfn1tLO59p1oiIDWk9qhHgiHGMRZoFRjnfuFaTOquvvW5vW0rSsDhHSYuqB5b/NDPvGMtIpOHrdR+873mjNKp11DXAvZWs5YH1u60/VxnkIGlcNqmlb+ix/o219KbTGIvUdPX7KC8uI017sUVEHBcR10XEAxHxRETcHhGXR8QREfHOiFh+UAOWxuiAiPhFRNwWEY9HxEMRMS8izoyIL0TES3tsrz7/OJ9JC70biEr60sz8zbgGIzXcKOcb12pSGxHxTGDXWvaF7cpO4RMRcU653noiIu6PiJsi4vSI+FREbDmA4Urj9pyIODIifhsR90XE/Ij4U5n+bkTsHxGr9NGuc5RUERErAm+qZXtVhWazXvfBR7KOKj8nrj1F3anc1E1fWmiJcQ9A0txTLmLqC5nf99hMvfxG/Y9Iaq6IeAaLRmyf1EdTLyx/qp5V/ryg7OPfIuLfgC9l5pN99CHNBHvV0ksDzwDWo3ji/OMRcTHwscz8RRft1SPIe53PbqmlV42IlXu4s0+akcp7L99Vy+53s22LiDgO2BpYE1iG4gmHO4GLgDOBE3t8ql1qmpHMN67VpEkdACxXST8A/E8f7exXSy8FrAhsQBFE8bmI+BXwkcy8pJ+BSjPABuVP1Rrlz6bA24GvRcS3gU9l5sNTNegcJbW1N7BsJX07cOo02vtERGxCcf3FKsBjFGuvGyiufPlJZl42jfalvvW5Dz7ddVS380a9n7sz89E++tq6i75U8iQHSeOwUi39aB+b0nfW0itOYzxSk32RIhBhwv0M7yjwVYDPAWdHxDpD6kOaCbYGTi9PdogpytbntPr8NKlyM+/xWrZzmmaD3Wh9iuEx4Lg+23ohxebdRsAzKb4MqgbhHQP8vnz6dcm+RyzNbKOab1yrSW1ExPrAp2rZX8/M+UPq8hXAuRHx/iG1L80EywN/C1wSEd1cG+EcJS2q/oXv0Zm5YBrt7QfsQLHeWiQID7g0In4ZES+aRh9Sv/rZB5/WOqpN+RUiot1369Ptp10d56gpeJKDpHF4Ri39WB9t1Ous0OdYpMaKiD2Bv6llfyIz721XvoPHKZ4++hVwFUXE9yMsXMS8HHgHxZdKE7al+AL4JZl5f5/Dl0btNuBnFEcKX03xJMLTwKrAVsBfAK+ulA/g4xRBwR+bpN1BzWnLVNLOaZoN3l1L/3DIc8ZEIN7rIuLNmXnrEPuSxmFU841rNakmIpYCTqD1b3ke8OUem7qB4vPoJcC1FCdBBLA68GLgjcBLKuWXAg6NiAWZ+R99DV4avQXAOcAvgCuAW4GHKOaX5wAvBfahONFhwsbALyJiu8ysnzxU5RwlVUTE5rQ+9Q2juapiIhDv7zLzsBH0J01nH3y6c0e9fFAE6T004H7a1XGOmoJBDpLGof4Pfv2Jom7U/8GvtynNahGxBcWTq1WnA9/ssolHgA8BR2Xmgx3KXAL8ICI+Dnyd1mPHNwH+k2IjTprJLqQIXvh5ZmaHMudSbCBvTfGkefU4uH+MiPMz85QOdQc1p608SZtSo0TE6sDra9n9bLYZiCctNKr5xrWatKgjgG0q6aeAd/XwBPlpwLcy8/wOr18NnAV8NSJeDRxNcT3ThMMi4qLMvLTHcUuj9kng25nZ6enV3wA/iohPAZ8BPkrxZREUT+aeGBFbT7Juc46SWtVPcTgzM2/osy0D8TRjTXMffLpzR7tghWcwdZCDc9QIeF2FpJmg0+Jl0HWkWSEingP8lNYPOrcA75hkM6BFZt6VmYdMEuBQLftAZu4LfKX20p4RsUOXw5bGIjN/lpmnd/PeyMyLge2A62ovfSkiFu+2y17H2GcdaSbbB6heG3EjcGYP9ScC8dbMzNdm5lcy878z8/LMvCEzL8nMH2Tm+ymeCDy6Vn8iEE+azUY13zivaU6LiH8C3lnL/lhmntVtG5l5/CQBDvWypwHb03pc8eLAl7rtTxqXzPzCJAEO1XKPZ+bHgA/UXtqK4oqyrrvsZXzTqCPNOOUpQ++oZfcTWH4asH1mbpSZH8rMYzLzgsy8JjOvzsyzMvOrmbkDxZWEf6rVPywituqjX6krg9gHr+m1Tr/zhnPUCBjkIGkcHq6ll+2jjXqdepvSrBQRawA/p/We8zuAXTPzriF3/xGKJy+q3jfkPqWRKo+525vWhcXzKZ4Yb8c5TVrUX9XS/9nL5oOBeFJbo5pvnNekUkT8LcWT6VVfy8x/GWa/mXkz8N5a9q4R8WfD7FcatfKY+x/Vsg+cpIpzlLTQGyiu35zwAPCDXhsxEE8z2YD2wac7d7Qr7zpqhjDIQdI4+A++1IeIWIXiXsuNK9l3A7tk5vXD7r/8gurgWvarIiLalZeaqjwK+PRa9m4dijunSRURsR3w55Wsp4CjRtC1gXia7QxykEYoIt4DfK2W/c3M/PtR9J+ZJwHX1LI7fR6VmuyLtfR2EbFSh7LOUdJC9asqjs/MdsfqD5SBeBqVAe6DDyPIod2VZc5RY2CQg6RxeKCWXi4ilu+xjTVqae9c1qwWEStSfOm6eSX7PorI1d+OcCin1dKrA88eYf/SqPx3Lf2CDuXqc9rqvXQSEc9g0UWMc5qarL7Zdmpm/nHYnRqIpzlgVPONazXNeRHxTuBbFHeRTzgSeP+Ih1Jfe3X6PCo12YUUexsTFgc27VDWOUoCImJdYNda9hGj6t9APA3bgPfBp7WOYtF548HMfHoI/bTryzlqCgY5SBq5zLyH1gUMFPcp92K9WnroT7FL4xIRK1B84fqiSvaDwG6ZWX9qdagy8z4G86FNmunm1dKd/s7r8099fppKvfy95ftMapxyk/mttex+7oXtl4F4ms1GMt+4VtNcFxF7UQQ0VPdMjwX26/Pe5+mYV0u77tKsU35R9Ptadtu/deco6f/sS+s8dXlmXjLiMRiIp6EYwj74oNdRneaNev7qEbHckPpSySAHSeNydS3d65FWz52iPWlWKL8w+hmwXSX7YeA1mXnheEZF/fi7fo7fkma6bv/OBz2f/a7H+tJM8hZghUr6T8BPRtW5gXia5UY537hW05wUEW8C/oviSfIJ3wfe1eGJvWFz3aW5ope/decozWnlSXV/VcseZWD5hHm1tOsuTduQ9sFHMm9k5oNA/RTLDXvsa4Nu+tJCBjlIGperauntu61YTnb16NB6e1LjRcSyFF8O7VjJfhR4XWaeO6YxBbBqLfvucYxFGrLVaulOf+f1+ecFPUZq7zBFe1KT1K+qOCYzF4x4DH4hpNlqlPONazXNORGxO3A8sEQl+2TgbZn51HhG1fXnUanpevlbd47SXPcKWr8IfYLixKFRc92lgRriPnjf80ZpVOuo59O65/4ocHO39ecqgxwkjUv9rvOde6j7Ulo3Hi7LzD9Ne0TSDBIRywA/ovW98Tiwe2aeNZZBFbYElqyknwbuGNNYpGHatpauR2MDkJm3A1dUspagdUE2lZ1r6VN7qCvNGBGxMYv+7Y/0iSID8TSbjXi+ca2mOSUiXktxYkN1nfNT4K1jCNar6urzqNRkEbEaiz4lO9nfunOU5rp319InZua9YxiHgXgamCHvg18EVN8jzy73L7oZ12IUc0fVsNZR9bKnjekksUYxyEHSuJxGa8Tn9mW0Wjf2raVPGsiIpBkiIpYCTgR2qWQ/AeyRmb8cz6j+z9tq6Usy8+GxjEQaknJx9cZa9hmTVKnPQ/WjIzv183xaN68fAU7vpq40A9U3287JzGtHPAYD8TTbjWq+ca2mOSMidgV+CCxVyT4deFNmzh/PqCAi1gBeWcs+YwxDkYZtL1q/o/gTkx/P7RylOSsiVmLRvYpxXFUBBuJpQIa9D14GrP64lt3VOgp4FbBWJX1jZl7RqTCLzit7lO/bbuw7RVtqwyAHSWORmY8CP6hlf3SqemWU3Z6VrAXAcQMcmjRWEbEE8D3gNZXsJ4E3Z+Zp4xlVodw4OLCWfco4xiIN2UeBtSvppyie5uvk2LLMhDdGxEZd9lP1vcx8vLshSjNHRCwO7FPLHsdmm4F4mu1GMt+4VtNcEREvo1jPLFPJ/hXFpvoT4xnV/zkYqF5J8yAGOWiWiYg1gU/Wsn+cmdmpjnOU5ri30zpnzaOYt0bKQDwNygj3wY+ppfeLiPopkO18ZIp2WmTmPODsStaywIem6qT8TFoNHLqf4mQLTcEgB0njdBDFpDVh3/IezLbKJ2uPpPUJi+9k5o3DGZ40WuWXRMcCb6hkL6A4JvUnA+xn24ioH7U1VZ2NgZ/ResfePcChgxqXNGgR8c5y46yXOu8BPlPLPiozb+lUJzOvB46uZC0FHFXOW536eQOtUdrzgc/2MlZpBnkt8OxK+iGKY79HxkA8zQUjnm8OwrWaZrGI2J7i3ufq+uYs4PWZWb9nfDr97B8RK/ZQPiLicyz6NN+/lF/uSjNORDwvIl7fY51nUbwHq+u1+cAXu6h+EM5Rmpvqp+f952RBQUNkIJ6mbVT74ACZ+StaA4JWA75VXkfRaXwfBF5eybob+Ncuuvt4PR0RW0/Szyos+pDIwZn5QBd9zXkxnn8DJakQEf8CfLiS9STwd8Dh1aMhI2IT4AjgJZWy9wCbl/fTSo0XEUez6JOwH6G/L4ru6PSEXkTsS7HAP5fiyYUfZeYfOpRdDTiA4smIFWovvyszJ41glcYpIs4AtqF4D30POCMzH+lQdmuKhcietZduA7bOzEmPvI+IdSjuSl+5kv1rYL/MvKZSbmlgf+CrtB6r/8XMrC+EpEaIiJNp3Zj4dmbu32db2wJLZebZUxZeWGdjirsvN6hk3wNs6MaARqmcC5Zo89J2wPGV9G3Ajh2aeTgzO95pPMr5xrWaxmmY76eI2BL4H6AafHAt8Gag1xOAHp/sc2JEzCv7OZ7iM+m57U6JiIiguIv50yx6J/OVwHYGOWg6hvye2pniPXUl8F3gpDIwr904VgDeRXGCQz0g/dOZ+U+T/BrVdpyjNONU3gsTbsnM9QfU9guByypZTwPrd9rP67LN/YETul0zlXPVZ4FP1V76VGZ+vt9xaG4a1T54pb+tgPNoDXg7Gfhg9X1UzlMfAT4BRKXsAZl5eDeDiYjvU3yunPAgxf769zLz6Uq5bSmC2J9XKXsj8AI/93XHIAdJY1VG7P2Y1iOJAO4ELqV4EvC5wFa0TirzgV162QCXZrqIGOSk/PLMPKNDP/tSBDlU3QX8DriX4p7mZ1J8WbQZre+9CR/PzG6esJDGpgxyeFkl62ngeoojHR+gOPJ7VWALFt1gg+L98LLMvKrL/namuCO2umBK4BLgJooN7q2A1WtVf0JxLPJTSA1TnpZyK62b5ttm5oV9trcvBuKpocovM9ebZjNHZ+a+U/SzMyOYb1yraZyG+X6KiINY9OSufp2ZmTt3erHN77EAuJpi7nyA4r2zGsX7aOV6feBmYMfM9K5zTcuQ31M70/rFLhR/31dRPPn6EPAMYF2KtVe7YIvDM/OAbgfiHKVxGkVga5s+/x34m0rWqZn52m7rd2hzHgbiaUxGtQ9e6/PtFMF4VQuAC4E/UHwmezHFvnjVNzOzfnLkZP0sT3FtxZa1l/4AXE4xF21Mse9edR+wfWZe221fc127f4glaWQy86mI+EuKqOq3Vl5aA9itQ7U7KTauXZBIg7M6rV8Gd3IXxZOC3gumJlqMIjr6eVMVBH4J7JuZt3bbeGaeERF7Akex8IulALYuf9o5HniPAQ5qsH1oXVde1W+AQ81Lyp9DI6KfQDwDHDRrjWq+ca0mDcUSwOblz1ROAN6XmfcNd0jSUKwI7NBFuUeA/5eZ3+6lcecojdk5dBc0tDZFsFo7R7Po1URtlSd0va2WXT/evl8rAe8rfxZERK+BeLsZ4KCmyMxjI2Ip4BCK4DsoPpu9pFOVsuzf99jPIxHxWoqAildWXlq3/GnnRmBvAxx60/G+EUkalcx8ODP3At4CnD9J0XuBbwKbZeZ/j2Rw0ux0DvA14GKKyNGpJEWU6Qcojv42wEFN8XWKJ8Fv6bL8I8BJFE/27NJLgMOEzPwZxRev36KIwO7kfODNmfm2TldoSA1Rvxd2UJttVROBeHsC7wB2p/hyqB7gcBfwBk8a0lwwqvnGtZo0bZ8DTgS6PRb/AeAYYJvM3MsABzXE1cA/U1yf9FiXda6juC5w/V4DHCY4R2kO2RNYpZK+CxjG3txEIN5rgL0oAoheSfsAhxOAF3nSkJomM4+kOFXoWIp9wHaeBn4BvDIz/7afB5PK68x2Bd5LceJJJ7cDBwNbZOZFvfYz13ldhaQZJyI2oIgQXQtYHriD4guqX1fv1ZM0fRGxJPB8iidi16J4OnZpig9591Eco3WRd5qr6SJiJeDPKSKm1wSWowj4vZ/ib/1q4IpBnqhQRofvQPGEx7Mo3le3AZdlZqenOaTGiIgdKALnJswH1u7l2NU2bf4ZxVNEOwEvoPU4/nYSuILiKb6jM/OhfvuWmmqU841rNal/EbEGsAmwDkUA33IU89j9FF/CXglcnW7WqsEiYjFgI2BDiqfYVwKWoQh+uI/iy5yLMvOuIfTtHKWRGNUVZZX+fg7sUsn6Wmb29GR5h3bfDbwO2B54dhdVHgBOAQ71y1jNBuW1EjtSfDZbg+Iz2R+BCzOz2wDVbvvalCJIfS2KfY4/Ulw1eH5mPj3IvuYSgxwkSZIkSTOOgXiSJEmSNHwG4klqIoMcJEmSJEmSJEmSJElSIyw27gFIkiRJkiRJkiRJkiR1wyAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIawSAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIawSAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZI0cBGxfkRk5eeocY9JkiRJktR8BjlIkiRJkqRZIyLm1b5Yn87PHuP+fSRJkiRJUiuDHCRJkiRJkiRJkiRJUiMY5CBJkiRJkiRJkiRJkhphiXEPQJIkSZIkaYj2Bs7vs+6dgxyIJEmSJEmaPoMcJEmSJEnSbHZHZs4b9yAkSZIkSdJgeF2FJEmSJEmSJEmSJElqBIMcJEmSJEmSJEmSJElSI3hdhSRJkiRJ0gBFxPrAVsDawLLAHcAVmfmbAbW/FrAdsCawMvAAcBdwUWbePIg+yn5WLft5FrAaEMD9wI3A5Zl55wD62BjYAliHYp/qLuCSzLxyum1LkiRJkmYngxwkSZIkSZJ6EBHzgPXK5C2ZuX6Zvxvwj8BOFAEB9Xo3Ap/PzKP66HMxYG/gHyiCAjqVuw44BDg8M5/so58lgX2BA8t+Fvk9KmWvBE4AvpOZd/TYz18An6AIomj3+k3ApzPz2F7alSRJkiTNfl5XIUmSJEmSNE0R8UXgVOBldA4M2BA4MiJOjYjlemj72cB5wHeZJMChtDFwKHBlRGzUbR9lP9sC1wGHAy9kkgCH0ubA54H39tDH4hHx78CP6RDgUHou8N2IODQiphqHJEmSJGkO8SQHSZIkSZKkaYiID1Oc4DDh98CVwMMUV1ZsCyxZeX034KcR8erMnD9F2+sBZ7Lw5IgJDwEXAncCqwBbA6tWXn8ecG5E7JKZl3fxO+wFHAUsXXvpCeASiis3nij72hRYd6o2O/g68P7yvxO4AripbHs94MW07le9H/gt8M0++5MkSZIkzTIGOUiSJEmSJPVvNeAL5X/fAByYmT+vFoiIVYDPAB9g4ekIOwOfBj7ZqeGIWAI4ntYAh4cprnk4PDMfr5XdC/jXckwTY/teRLwoMx+epJ9tWTTA4fflmE/IzMfa1FkHeBOwf6d223hdZWxHAJ/NzFtr7a5NcZLEayvZX4qIYzLzkR76kiRJkiTNUpGZ4x6DJEmSJEnSQETEPFqDAvYGzu+jqUcz884u+wC4BtgpM++aZGwfAA6pZC0ANsvMazuU/yDFyQcTHgF2zczzJuljE+AsFgYTAHwlM/+hQ/mlKK6oqP4+vwZ2z8x7O/VTqR/AGpn5pzavrQ/c3KbagZnZ8WSGMmDjfOBFlez9MvM7U41HkiRJkjT7GeQgSZIkSZJmjQ4BCP04JTP36LKPp4BtMvPSLsZ3CrB7JevfM/ODbcotRnEyxAaV7A9k5qFd9PEm4AeVrAeBdTLzoTZl30NxcsKE24AtMvOeqfrpYhzrs2iQw3GZ+fYu6r4O+Emv9SRJkiRJs99i4x6AJEmSJElSw53cTYBDqX49xT5lQEPdTrQGONwKfKObDjLzh8DFlaxnAnt2KP6++vgGEeAwiX/qstzpwPxKesshjEWSJEmS1EAGOUiSJEmSJE3Pcd0WzMwrgasqWSsCm7UpumMtfXxmPt3DmI6Zoj0iYhXghZWsB4Dje+ijVzdl5jXdFMzMJ4EbK1lrDGdIkiRJkqSmMchBkiRJkiTNZi/PzOjjp+1VFR1c0OOY6uVf3KbM1rX0uT32US/fro/tgaikz8/MJ3rspxe/67H8fZX/XnGQA5EkSZIkNZdBDpIkSZIkSf17NDNv67HO9bV0u1MK6nnX9dhH/cSEdn08u5b+bY999Oq+qYu0eLLy30sMciCSJEmSpOYyyEGSJEmSJKl/D/ZR54FaepU2ZVaeos6kMvMRYMEUfaxaS/cahNCrXq7bkCRJkiSpLYMcJEmSJEmS+pdDaiO6KDPdPvopI0mSJEnSWBnkIEmSJEmS1L8VB1Cn3QkK906nn4hYntYrHtr1cXct3e60B0mSJEmSZhSDHCRJkiRJkvq3XESs3WOdjWrpO9uUqedt3GMfz+uij9tr6U177EOSJEmSpJEzyEGSJEmSJGl6tuux/La19EVtylxcS7+kxz7q5dv1cR7wdCW9fUQs1WM/kiRJkiSNlEEOkiRJkiRJ07N3twUjYnNgs0rWA8BVbYqeU+8jInrZx3nnFO2RmfcBl1ayVgT26qEPSZIkSZJGziAHSZIkSZKk6dkjIrbqsuzna+n/ysyn25Q7C7i5kl4XOKCbDiJiT2CbStaDwMkdih9WH19ErNxNP5IkSZIkjYNBDpIkSZIkSdOzOHBsRKw2WaGI+Btg90rWUywaZABAGfjw9Vr2wRGxTbvylT6eB3yrlv3tzHywQ5XvAjdW0usCJ3cb6BCFNbspK0mSJEnSIBjkIEmSJEmSZrNnRcT6ff6s0UX7jwBPAs8Hzo2IXeoFImKViPg34JDaSwdn5jWTtH0YcEElvQLw84g4MCKWrvWxRES8HTgbqI77BuCznTrIzAUUV1Q8XsneCbg0IvaJiGXa1YuIdSLig8CVwPsm+R0kSZIkSRqoyMxxj0GSJEmSJGkgImIesN6AmjslM/eYoo9bgG8AB1eK3AJcQREAsTawHbBkrZkzgVdl5vzJBhARG5Rl16299CBFAMTdwMrA1kD9JIl7gV0y87LJ+ij7eQvwX8DStZceBy4B7gDmA6sAmwDPqZT5bGYe1KbN9Wm9cuPozNx3qrFU6p8BvGwinZnRbV1JkiRJ0uy1xLgHIEmSJEmS1GSZ+eWIWB34cJm1HpMHWpwGvHGqAIey7ZsjYjvgR8CLKi89E9h1kqrXA6/PzGun6qPs5/sRcStwAq0BFcsAO3TThiRJkiRJo+B1FZIkSZIkSdOUmf8A7A78epJiNwLvzszdMvPRHtr+I7AN8C6KEyImcz3wQWCzbgMcKv2cB2xU1v/dVMWBS4GPAIf20o8kSZIkSdPhdRWSJEmSJEk9qF9XkZnr117fgOLUhbWAZSmueriim2sjuux/4gqMNYGVgIeAO4GLMvOmQfRR9rNW2c8aFNdULADupwjW+E1m3jOoviRJkiRJ6pZBDpIkSZIkST2YKshBkiRJkiQNj9dVSJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZKz26GWAAACDUlEQVQkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIaITJz3GOQJEmSJEmSJEmSJEmakic5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIawSAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIawSAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY1gkIMkSZIkSZIkSZIkSWoEgxwkSZIkSZIkSZIkSVIjGOQgSZIkSZIkSZIkSZIawSAHSZIkSZIkSZIkSZLUCAY5SJIkSZIkSZIkSZKkRjDIQZIkSZIkSZIkSZIkNYJBDpIkSZIkSZIkSZIkqREMcpAkSZIkSZIkSZIkSY3wv+pSM5CATnQjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffb8462cba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(norms_5, 5, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
